Matteo Manca

941 total citations
17 papers, 622 citations indexed

About

Matteo Manca is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Matteo Manca has authored 17 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Neurology. Recurrent topics in Matteo Manca's work include Prion Diseases and Protein Misfolding (12 papers), Neurological diseases and metabolism (6 papers) and Alcoholism and Thiamine Deficiency (3 papers). Matteo Manca is often cited by papers focused on Prion Diseases and Protein Misfolding (12 papers), Neurological diseases and metabolism (6 papers) and Alcoholism and Thiamine Deficiency (3 papers). Matteo Manca collaborates with scholars based in United States, Italy and Canada. Matteo Manca's co-authors include Byron Caughey, Allison Kraus, Andrew G. Hughson, Bradley R. Groveman, Christina D. Orrú, Nicholas J. Haley, Edward A. Hoover, Davin M. Henderson, Kelsie J. Anson and Katrina J. Campbell and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Matteo Manca

17 papers receiving 612 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Manca United States 13 451 162 102 93 52 17 622
Cyrus Bett United States 16 514 1.1× 226 1.4× 191 1.9× 155 1.7× 28 0.5× 26 600
Richard Carp United States 10 512 1.1× 194 1.2× 254 2.5× 102 1.1× 53 1.0× 14 615
Mônica S. Freitas Brazil 12 287 0.6× 30 0.2× 23 0.2× 118 1.3× 114 2.2× 15 570
Kensuke Ishikawa Japan 7 324 0.7× 155 1.0× 126 1.2× 65 0.7× 26 0.5× 15 399
Peter D. Buckett United States 22 524 1.2× 24 0.1× 210 2.1× 50 0.5× 28 0.5× 25 996
Józef Lisowski Poland 13 170 0.4× 29 0.2× 80 0.8× 126 1.4× 14 0.3× 24 385
А. Н. Мурашев Russia 13 284 0.6× 45 0.3× 19 0.2× 86 0.9× 21 0.4× 48 512
Benedikt Frieg Germany 14 286 0.6× 19 0.1× 12 0.1× 159 1.7× 93 1.8× 25 488
Najiba Mammadova United States 9 173 0.4× 44 0.3× 30 0.3× 25 0.3× 59 1.1× 14 255
Barbara Christen Switzerland 10 478 1.1× 234 1.4× 238 2.3× 26 0.3× 5 0.1× 11 528

Countries citing papers authored by Matteo Manca

Since Specialization
Citations

This map shows the geographic impact of Matteo Manca's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matteo Manca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Manca more than expected).

Fields of papers citing papers by Matteo Manca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Manca. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matteo Manca. The network helps show where Matteo Manca may publish in the future.

Co-authorship network of co-authors of Matteo Manca

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Manca. A scholar is included among the top collaborators of Matteo Manca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matteo Manca. Matteo Manca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Manca, Matteo, Mikayla L. Huntley, Christina D. Orrú, et al.. (2023). Tau seeds occur before earliest Alzheimer’s changes and are prevalent across neurodegenerative diseases. Acta Neuropathologica. 146(1). 31–50. 14 indexed citations
2.
Foster, Kelly, Matteo Manca, Kim F. McClure, et al.. (2023). Preclinical characterization and IND‐enabling safety studies for PNT001, an antibody that recognizes cis‐pT231 tau. Alzheimer s & Dementia. 19(10). 4662–4674. 12 indexed citations
3.
Hoyt, Forrest, Efrosini Artikis, Cindi L. Schwartz, et al.. (2022). Cryo-EM structure of anchorless RML prion reveals variations in shared motifs between distinct strains. Nature Communications. 13(1). 4005–4005. 61 indexed citations
4.
Manca, Matteo & Allison Kraus. (2020). Defining the Protein Seeds of Neurodegeneration using Real-Time Quaking-Induced Conversion Assays. Biomolecules. 10(9). 1233–1233. 10 indexed citations
5.
Haley, Nicholas J., Davin M. Henderson, Edward A. Hoover, et al.. (2020). Cross-validation of the RT-QuIC assay for the antemortem detection of chronic wasting disease in elk. Prion. 14(1). 47–55. 18 indexed citations
6.
Haley, Nicholas J., Jürgen A. Richt, Kristen A. Davenport, et al.. (2018). Design, implementation, and interpretation of amplification studies for prion detection. Prion. 12(2). 73–82. 8 indexed citations
7.
Caughey, Byron, Christina D. Orrú, Bradley R. Groveman, et al.. (2017). Amplified Detection of Prions and Other Amyloids by RT-QuIC in Diagnostics and the Evaluation of Therapeutics and Disinfectants. Progress in molecular biology and translational science. 375–388. 16 indexed citations
8.
Orrú, Christina D., Bradley R. Groveman, Andrew G. Hughson, et al.. (2017). RT-QuIC Assays for Prion Disease Detection and Diagnostics. Methods in molecular biology. 1658. 185–203. 43 indexed citations
9.
Orrú, Christina D., Andrew G. Hughson, Bradley R. Groveman, et al.. (2016). Factors That Improve RT-QuIC Detection of Prion Seeding Activity. Viruses. 8(5). 140–140. 64 indexed citations
10.
Hughson, Andrew G., Brent Race, Allison Kraus, et al.. (2016). Inactivation of Prions and Amyloid Seeds with Hypochlorous Acid. PLoS Pathogens. 12(9). e1005914–e1005914. 66 indexed citations
11.
Haley, Nicholas J., Chris Siepker, Laura L. Hoon‐Hanks, et al.. (2016). Seeded Amplification of Chronic Wasting Disease Prions in Nasal Brushings and Recto-anal Mucosa-Associated Lymphoid Tissues from Elk by Real-Time Quaking-Induced Conversion. Journal of Clinical Microbiology. 54(4). 1117–1126. 43 indexed citations
12.
Orrú, Christina D., Cristiano Corona, Maria Mazza, et al.. (2015). Detection and Discrimination of Classical and Atypical L-Type Bovine Spongiform Encephalopathy by Real-Time Quaking-Induced Conversion. Journal of Clinical Microbiology. 53(4). 1115–1120. 44 indexed citations
13.
Henderson, Davin M., Matteo Manca, Nicholas J. Haley, et al.. (2013). Rapid Antemortem Detection of CWD Prions in Deer Saliva. PLoS ONE. 8(9). e74377–e74377. 95 indexed citations
14.
Pivetta, Tiziana, Francesco Isaia, Federica Trudu, et al.. (2013). Development and validation of a general approach to predict and quantify the synergism of anti-cancer drugs using experimental design and artificial neural networks. Talanta. 115. 84–93. 33 indexed citations
15.
Rosa, Antonella, Paola Scano, Alessandra Incani, et al.. (2013). Lipid profiles in brains from sheep with natural scrapie. Chemistry and Physics of Lipids. 175-176. 33–40. 2 indexed citations
16.
Pivetta, Tiziana, Francesco Isaia, G. Verani, et al.. (2012). Mixed-1,10-phenanthroline–Cu(II) complexes: Synthesis, cytotoxic activity versus hematological and solid tumor cells and complex formation equilibria with glutathione. Journal of Inorganic Biochemistry. 114. 28–37. 41 indexed citations
17.
Meloni, Luigi, et al.. (2008). Glucose‐6‐phosphate dehydrogenase deficiency protects against coronary heart disease. Journal of Inherited Metabolic Disease. 31(3). 412–417. 52 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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